Keyphrases
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- dimensionality reduction
- diffusion maps
- laplacian eigenmaps
- semi supervised
- subspace learning
- dimension reduction
- head pose estimation
- locally linear embedding
- high dimensional data
- locality preserving
- sparse representation
- manifold learning algorithm
- locality preserving projections
- feature extraction
- geodesic distance
- support vector machine svm
- principal component analysis
- least squares
- low dimensional manifolds
- pairwise
- data analysis
- data mining
- discriminant projection